Although IVIM model can provide valuable insight into tissue perfusion and microstructure without the need for contrast, the estimation of model parameters with sufficient accuracy continues to be a challenge. In this work, we propose a analytical segmented (AS) approach for estimating IVIM model parameters describing tissue perfusion (Df, and f), and tissue diffusion (Ds), and compare the performance of this work against conventional approaches using numerical simulations. Results from our work suggest that AS approach can minimize errors in the estimation of metrics characterizing perfusion, i.e., f, and Df compared to conventional approaches (full fitting , segmented and oversegmented methods) even for tissues with low Df/Ds ratios.
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